Vendor-reported figures — source: valuecore.ai
For Am Law 200 firms handling complex litigation, e-discovery infrastructure failures carry direct financial and legal consequences. This firm faced a hard six-week deadline to migrate and produce 400,000 documents — a volume that exposed the limits of its legacy on-premises setup. Without real-time visibility into processing queues, review progress, or production status, project managers were flying blind. The existing infrastructure couldn't scale to meet sudden case demands, creating bottlenecks that threatened both the deadline and the client relationship. The cost of missing that deadline — or relying on expensive internal review teams — made the status quo untenable.
The firm engaged DISCO Ediscovery, a cloud-native e-discovery platform that combines machine learning-driven document review with managed review services staffed by U.S.-licensed attorneys. The migration moved all 400,000 documents into DISCO's scalable cloud architecture, replacing the firm's legacy on-premises infrastructure entirely. DISCO's AI-assisted review applied predictive analytics to prioritize and classify documents, accelerating the review workflow without sacrificing accuracy. The platform's real-time monitoring dashboard gave operations staff 24/7 visibility into processing status, reviewer throughput, and production queues — capabilities the firm previously lacked. Managed review services provided surge capacity at rates competitive with offshore providers, closing the gap between timeline pressure and internal headcount constraints.
The migration and production were completed in less than three weeks — under half the six-week deadline. The firm achieved a 40% reduction in annual operational costs, with the total project cost coming in at $373,000, significantly below what internal review would have required. Additional outcomes included:
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